TetraScience-posted 4 months ago
Full-time • Senior
Cambridge, MA
101-250 employees

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. The company is a leader in the market, generating more revenue than all other companies in the aggregate. The role requires a strategic, analytically minded professional with a passion for bridging scientific insights and technology, collaborating with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. The position demands a high clock speed individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences, embodying principles of extreme ownership and maximizing value from data through enrichment, analysis, and integration with AI and machine learning applications.

  • Investigate customer datasets to identify gaps, enrichment opportunities, and AI-readiness factors.
  • Collaborate with customers to define, iterate, and refine AI/ML-driven scientific use cases.
  • Interview scientists and guide them in expanding and leveraging their data for AI applications.
  • Perform exploratory data analysis (EDA) and define data transformations for AI/ML use cases.
  • Develop workflow diagrams, process mappings, AS-IS/TO-BE workflows, and ontology definitions.
  • Provide feedback on AI/ML models to enhance scientific outcomes and improve product offerings.
  • Conduct technical demonstrations, showcase AI applications, and drive adoption.
  • Proactively suggest experiments or data strategies that strengthen customer insights and outcomes.
  • PhD with 15+ years of industry experience in life sciences.
  • Extensive domain knowledge in Small Molecule Process Chemistry and Synthetic Chemistry.
  • Proven track record of defining and implementing AI/ML-driven use cases in productized environments.
  • Experience collaborating with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
  • Extensive experience in exploratory data analysis and workflow optimization.
  • Excellent communication and storytelling abilities.
  • Experience advising scientists in a consulting capacity to further research, development, and quality testing outcomes.
  • 100% employer-paid benefits for all eligible employees and immediate family members.
  • Unlimited paid time off (PTO).
  • 401K.
  • Remote working opportunities, when not at customer sites.
  • Company paid Life Insurance, LTD/STD.
  • A culture of continuous improvement where you can grow your career and get coaching.
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